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Data Science

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Data Analysis

[DATA, ON] First Steps in Data Analysis

Learn how to work efficiently using Python, a basic programming language.

3 learners are taking this course

  • alpaco
파이썬
판다스
데이터분석
공공데이터
python
Python
Pandas

What you will learn!

  • Concepts and characteristics of data and data analysis

  • Learning the basic structure of Pandas series and data frames and utilizing them for data analysis

  • Learning and using regression analysis visualization and correlation visualization

Simple data analysis,
Anyone should be able to do it 📊

Why do we need data analysis skills? 🤔

Artificial intelligence, big data, AI, and other technologies that once seemed like a distant future have become a significant part of our daily lives. In this era, what if we became active data handlers, rather than passive recipients ? Learning how to derive useful information through data analysis will go beyond simply keeping up with the digital landscape; it will truly elevate our capabilities .

In this course, you'll learn how to utilize Python , the most fundamental programming language, as a data analysis tool to efficiently handle tasks. Specifically, you'll learn how to easily understand public data, accurately analyze and process it , and improve work efficiency .

This course's unique features ✨

  • Let's first learn the basics of Python needed for data analysis and then prepare for analysis!
  • I used a tablet to explain the theory and practice so that you can understand it in more detail and concretely !
  • We have developed the ability to actively analyze data through a series of processes including data preprocessing, modeling, and visualization.

Learn this!
Data Analysis with Public Data 📑

Data analysis refers to extracting useful information from data through a specific analytical process. We will learn some of the steps involved : data preprocessing, exploratory data analysis, data visualization, and co-analysis .


Learning Process 💡

  • Let's look at the meaning and overall process of data analysis,
  • After going over the basics of Python that you need to know for data analysis,
  • We will be using the Pandas library to handle a significant portion of the data analysis process.
  • Learn the basic structure of data frames ,
  • We'll explore data relationships, predictions, and even visualization .


I recommend this to these people 🙋

Those who understand the basics of Python

Those who want to apply data analysis in practice

Anyone who wants to understand the entire process of data analysis

Anyone who wants to become familiar with data analysis


Expected Questions Q&A 💬

Q. Can I take the course even if I don't know Python?

This course is recommended for those who understand the basics of Python. It utilizes Python, one of the few programming languages capable of efficiently handling the entire process from data collection to AI. It's ideal for beginners with basic knowledge rather than beginners.

Q. What is the most effective way to take the course?

We recommend that you download the lecture notes and data for each class, attend the lecture, follow along, and practice repeatedly to organize the concepts.


Recommended for
these people

Who is this course right for?

  • For those who want to use data analysis in practice

  • For those who want to understand the entire process of data analysis

  • For those who want to learn the basics of data visualization using Python

Need to know before starting?

  • Python Basics

Hello
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Curriculum

All

20 lectures ∙ (7hr 38min)

Course Materials:

Lecture resources
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$236.50

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